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Thank you so much
@Magdalena G
🙏✨ You’ve always been there since day one, and your support means a lot to me. Let’s keep growing together 🚀🔥
Magdalena G
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congratulation 💪
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Total crypto market cap reclaims $4T after $200M in shorts were liquidated, per coinglass_com data. #CryptoRally #FOMCMinutes
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$BNB will reach $1000 as soon as possible, then $1200 #BNBATH880
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$200M IN SHORTS LIQUIDATED IN 1 HOUR, INCLUDING $112M IN $ETH SHORTS #CryptoRally
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Today US-EU announce new trade pact Their deal might change EVERYTHING: • EU to remove tariffs on American imports • US limits tariffs on EU autos & tech to 15% • Europe commits to $750B in US energy buys • US to channel $600B of investments into the EU by 2028 #CryptoRally
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Solong is stacking two of the hottest narratives—AI + DePIN—on Solana, and doing it with an execution model that actually makes sense: 1-DePIN backbone Uses a token-incentivized GPU mesh (think Render + Helium) to aggregate global idle chips. Goal: 1 M GPUs clustered on-demand for AI workloads . 2-AI service layer Wraps that compute into an “AWS + GPT Store” play: text, image, avatar and face-swap APIs that devs can hot-plug via Telegram or HTML5. Costs up to 90 % cheaper than AWS/GCP because supply is crowdsourced . 3-Token flywheel – Supply side: Providers stake / bond hardware, earn emissions. – Demand side: Users pay in stablecoins; smart contract auto-burns tokens → Burn-and-Mint Equilibrium à la Render . – Kicker: Multi-modal training uses tensor & pipeline parallelism so even low-mem GPUs can join, widening the supply funnel . 4-Moat vs. noise Unlike pure memecoin AI plays, Solong’s contracts already route real compute jobs (B2B + B2C). If they hit 10 k active GPUs and 5 k daily API calls, the token stops being a narrative and starts being cash-flow collateral. in a sector full of vaporware, Solong’s AI/DePIN combo has live infra + fee burn + Solana’s low-latency settlement. If the team ships the model store before EOY, it’s a top-3 DePIN bet for 2025 #CryptoRally
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